The need for specialists with high-performance computing skills is growing day by day. This is due to the fact that the high-performance process of processing big data is one of the most pressing problems today. This is especially important in science, economics, physical modeling, medicine, bioinformatics, weather forecasting, etc. This article analyzes the conditions for teaching high-performance computing, the experience of leading universities in the world, and it is established that teaching high-performance computing requires study. High performance computing training was carried out on 3 different hardware equipment (a personal computer, a supercomputer “Param-Bilim” India – Kazakhstan Centre of Excellence in ICT [IKCOEICT] at L.N. Gumilyov Eurasian National University and a quantum computer in the cloud IBM Quantum Experience) using different algorithms in the C ++ and Phyton programming languages. The effectiveness of the calculation results in the educational process was determined as a result of the completed questionnaire.

At present, along with the dynamic development of computer technology in the world, the most effective ways of solving problems of practical importance are being considered. High performance computing takes the lead in this. Therefore, the development of modern society is closely related to the training of experienced, modern specialists in the field of information technology. This, in turn, depends on the inclusion of new courses in the curriculum and full coverage of these issues in the content of the taught courses. This article analyzes the courses on high performance computing, taught at experimental bases and abroad, on the basis of this, the topics of the special course and the content recommended for implementation in the educational process are determined. During the training, the competencies of students in high performance computing were identified.

Various programming methods are considered. Particular attention is paid to parallel programming, quantum computers and biocomputers. This attention is due to the fact that in recent years, high-performance computing has been intensively developing. One of the main ideas for increasing the speed of information processing is to carry out calculations in parallel. For classical programming methods this is achieved thanks to the advent of multiprocessor computers. Such computers allow computational tasks to be parallelized by introducing parallelization elements into classical programming languages. Another approach to speed up computation is based on the idea of a quantum computer. The use of qubits in quantum computers leads to the fact that all possible states of the system are simultaneously processed. Another approach leading to increased computing performance is based on the development of biocomputers. This approach is based on the idea of using DNA chains consisting of a sequence of four nitrogenous bases (adenine, guanine, thymine, and cytosine). The information is stored and processed as a sequence of these nitrogenous bases. An increase in the speed of calculations is carried out due to the fact that biochemical reactions can take place simultaneously on different parts of the DNA - chains.